tatsath/fin-ml
Jupyter notebooks demonstrating machine learning techniques applied to financial use cases including algorithmic trading, sourced from an O'Reilly finance book.

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This repository contains case study code from the O’Reilly book Machine Learning and Data Science Blueprints for Finance. The notebooks demonstrate how to apply machine learning techniques to financial problems such as algorithmic trading and quantitative finance. It is designed as a learning resource where users can run the notebooks locally or via cloud platforms like Binder or Google Colab.